{
  "id": 18325,
  "url": "https://arxiv.org/abs/2608.08926v1",
  "title": "Decoding Phenotypes: A Framework for Fusing Genomic Language Models and Neuroimaging",
  "summary": "Neuroimaging and genetic testing are two important clinical references for nervous system diseases, offering complementary diagnostic information. However, integrating genomic and neuroimaging data for precise disease diagnosis is challenging due to cross-modality heterogeneity. Existing imaging-genetics approaches mainly encode genetic information as hard-coded labels, which lose the local sequence context around disease-associated variants. To address this limitation, we propose GeneFuse, a mu",
  "authors": "Tianli Tao, Ziyang Wang, Emma Robinson, Rachel Sparks, Le Zhang",
  "category": "research",
  "topics": "healthcare,biotech",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-09T21:40:17.000Z",
  "fetched_at": "2026-08-11T05:10:37.351Z",
  "source_slug": "arxiv-cslg",
  "source_name": "arXiv cs.LG",
  "source_homepage": "https://arxiv.org/list/cs.LG/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/18325",
  "original_url": "https://arxiv.org/abs/2608.08926v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}